HPE’s AI Factory: Bridging the Gap from Pilot to Production

Hewlett Packard Enterprise (HPE) is pioneering a structured approach to transitioning artificial intelligence (AI) projects from pilot stages to full-scale production through its initiative, the AI Factory. This strategic deployment aims to streamline the process and overcome common scalability challenges associated with AI implementations. For more insights from AI Infrastructure Field Day, watch Techstrong AI.

AI-Ready Storage Explained: Hammerspace’s Unified Data Solution

Hammerspace offers a unified data solution for AI workloads, aggregating storage infrastructure into a single namespace for high-speed data access and improved GPU utilization. They are also leading the Open Flash Platform initiative for efficient exabyte-scale data storage. Read more coverage of AI Infrastructure Field Day on Techstrong AI!

How CTERA Plans to Fix What’s Breaking Enterprise AI

CTERA is tackling the complexities that hinder enterprise AI by enhancing data management and storage solutions, ensuring robust and scalable infrastructure. By focusing on fixing bottlenecks related to data accessibility and management, CTERA aims to streamline operations and support advanced AI deployments. For more coverage of CTERA’s initiatives, follow updates by Jack Poller and others on Techstrong AI.

Transforming GPU-as-a-Service into AI Cloud with Rafay

The conversation around AI infrastructure often focuses on hardware, but the real opportunity lies in bridging the gap between renting raw GPU power and delivering a true, self-service AI cloud experience. A true AI cloud must offer self-service consumption, robust multi-tenancy, and an application-centric approach to simplify infrastructure complexity. Rafay’s platform helps GPU providers and enterprises build and operate AI clouds, offering automation, governance, and cost-effective solutions tailored for AI infrastructure. Watch for more coverage of AI Infrastructure Field Day on Techstrong AI!

How Broadcom’s Three-Chip Strategy Tackles AI’s Biggest Networking Bottleneck

Broadcom’s innovative three-chip strategy addresses significant networking bottlenecks in artificial intelligence (AI) by optimizing data movement efficiency across different network layers. Utilizing a combination of its Tomahawk, Jericho, and Ramon chips, the strategy enhances compute and storage connectivity, ensuring faster and more reliable data handling essential for AI applications. Find more coverage of AI Infrastructure Field Day by Jack Poller, watch Techstrong AI!

From GPU Gold Rush to Revenue Reality: How Mirantis k0rdent Transforms AI Infrastructure Dreams into Dollars

In the fast-evolving world of artificial intelligence, Mirantis is making waves with its k0rdent platform, revolutionizing how businesses capitalize on GPU-intensive workloads. This transformative tool not only optimizes AI infrastructure but also significantly enhances the operational efficiency and revenue streams of enterprises engaged in AI and machine learning endeavors. Additional insights and coverage on this topic have been provided by Jack Poller on Techstrong AI.

Enterprise AI Gets a Storage Upgrade: MinIO AIStor Scales from Labs to Production at Exabyte Scale

Jack Poller explores MinIO’s latest enterprise AI storage solution, AIStor, which promises scalability from small lab environments to large-scale production at an exabyte level. He highlights its architectural innovations and potential impact on accelerating AI workloads efficiently. For additional insights into Cloud Field Day 23, visit Techstrong AI’s extended coverage.

David vs. Goliath in AI Hardware: Signal65’s Independent Tests Reveal Gaudi 3’s Surprising Edge

Following the Futurum presentation at Cloud Field Day, Jack Poller examines the performance benchmarks of Habana Labs’ Gaudi 3 AI processor, revealing its competitive advantage over industry giants in AI hardware. Signal65’s independent testing highlights Gaudi 3’s enhanced processing capabilities, which could reshape expectations within the AI technology landscape. Find more coverage of Cloud Field Day 23 by visiting Techstrong IT and AI.

Securing the Future: Juniper’s Approach to AI Data Center Security

Alastair Cooke recently discussed Juniper Networks’ strategy in enhancing AI-driven data center security, highlighting their comprehensive approach to protect complex network environments. He emphasized how Juniper leverages AI to automate threat detection and response, ensuring a more resilient infrastructure. For additional insights on Cloud Field Day 23, you can read more from Alastair Cooke on Techstrong AI.

The Easy On-Ramp to Private AI with Nutanix Enterprise AI

Alastair Cooke recently highlighted how Nutanix is simplifying the integration of AI technologies within private infrastructures, positioning their Enterprise AI as an easy on-ramp for companies keen on adopting private AI solutions. He emphasized the platform’s ability to support various AI and machine learning workloads, enhancing agility and operational efficiency without compromising security. For more comprehensive insights, check out Alastair Cooke’s coverage of Cloud Field Day 23.

Breaking the AI Storage Bottleneck: Solidigm’s Strategic Approach to Each Pipeline Stage

Jack Poller provides an insightful analysis into how Solidigm is addressing the AI storage bottleneck by strategically catering to each stage of the data pipeline. He explores the technological advancements and solutions implemented by Solidigm that enhance both the efficiency and effectiveness of AI data processing. For more in-depth analysis on AI Infrastructure Field Day 2 by Jack Poller, visit Techstrong AI.

Why Managed Lustre in Google Cloud is a Big (AI) Thing…

Bart Heungens explores the significant impact of implementing Managed Lustre on Google Cloud, particularly its advantages for AI applications, in his latest article. He highlights how this integration enhances data processing capabilities and scalability, crucial for AI-driven projects. For additional insights on Cloud Field Day 23, explore more articles at Techstrong AI.

Feeding the Beast: How Keysight Ensures AI Networks Can Handle Data-Hungry GPUs

Jack Poller discusses how Keysight Technologies effectively addresses the challenges of maintaining robust networks that feed data to power-hungry GPUs, which are crucial for AI development. He explores Keysight’s innovative solutions that optimize network performance and reliability to meet the demands of intensive AI workloads. Discover more insights on AI Infrastructure Field Day 2 from Jack Poller at Techstrong AI.

Orchestrating the Future of AI Networking with Software-Defined Solutions from Aviz

Jack Poller recently highlighted the advancements in AI networking facilitated by Aviz’s software-defined solutions, pointing out their potential to revolutionize AI infrastructure management. He detailed how these solutions offer enhanced scalability, efficiency, and automation, setting a new benchmark in network orchestration. Explore additional insights from AI Infrastructure Field Day 2 in articles on Techstrong AI by Jack Poller.

SSD Innovation for AI from Solidigm

Alastair Cooke recently explored the advancements in SSD technology tailored for AI applications, specifically from Solidigm. Highlighting the impact of next-generation SSDs, Cooke discusses how these innovations enhance data processing speeds crucial for AI workloads. For more on AI Infrastructure Field Day 2, you can find comprehensive coverage by Alastair Cooke.

Google Cloud Provides a Complete AI Portfolio

Andy Banta highlights the comprehensive AI portfolio provided by Google Cloud, which is designed to cater to various business needs ranging from foundational models to tailored solutions for enterprise challenges. This coverage showcases the depth and flexibility of Google Cloud’s offerings in the AI space, affirming its position as a significant player in the industry. For additional insights into AI Infrastructure Field Day 2, explore more articles on Techstrong AI.

AI Infrastructure Gets ‘Googleier’

Google Cloud’s AI Hypercomputer platform simplifies the AI lifecycle with integrated hardware, software, and networking. It offers scalable solutions for large-scale AI workloads, powered by GKE and custom silicon like Trillium TPU. Read more in this Techstrong AI article by Jay Cuthrell.

Scaling AI: Mastering Inference with Google Cloud’s GKE Inference Gateway

Jack Poller provides an insightful analysis of how Google Cloud’s GKE Inference Gateway is pivotal in optimizing the scaling of AI through efficient model inference. His coverage highlights the integration capabilities of GKE, demonstrating its effectiveness in managing diverse AI application demands. For more in-depth insights, explore additional coverage of AI Infrastructure Field Day 2 by Jack Poller.

Agentic AI is Real, and Enterprises are Ready for it

Stephen Foskett explores the burgeoning landscape of Agentic AI, detailing how its real-world applications are transforming enterprise operations. He underscores the readiness of businesses to integrate this advanced AI technology, emphasizing its potential to optimize efficiency and decision-making processes. This article was inspired by Foskett’s experiences at Qlik Connect 2025 as well as recent briefings with Starburst and CData.

AI Infrastructure Space Is Red Hot

As Alan Shimel points out, the AI infrastructure market is currently experiencing significant growth, marked by increased investment and innovation. As organizations continue to demand more powerful and efficient computing resources to support complex AI applications, this sector remains a hotspot for technological advancements. Find more coverage of AI Infrastructure Field Day 2 at Techstrong AI.